Seeing the invisible: Reorienting cardiovascular risk prediction across the disease trajectory
Year: 2026
Type: article
Abstract: Current risk equations miss many cardiovascular events in people classified as low risk. Prediction is simultaneously advancing on two axes: broadening predictors toward molecular omics, and expanding outcomes toward earlier subclinical atherosclerosis and later heart failure.
Source: PLoS Medicine
Institution: Peking University
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $6,460
Award: G6805242194
OpenAlex ID: W7223114740
